“The reciprocal relationship of epistemology and science is of noteworthy kind. They are dependent on each other. Epistemology without contact with science becomes an empty scheme. Science without epistemology is — insofar as it is thinkable at all — primitive and muddled. However, no sooner has the epistemologist, who is seeking a clear system, fought his way through to such a system, than he is inclined to interpret the thought-content of science in the sense of his system and to reject whatever does not fit into his system. The scientist, however, cannot afford to carry his striving for epistemological systematic that far. He accepts gratefully the epistemological conceptual analysis; but the external conditions, which are set for him by the facts of experience, do not permit him to let himself be too much restricted in the construction of his conceptual world by the adherence to an epistemological system. He therefore must appear to the systematic epistemologist as a type of unscrupulous opportunist: he appears as realist insofar as he seeks to describe a world independent of the acts of perception; as idealist insofar as he looks upon the concepts and theories as free inventions of the human spirit (not logically derivable from what is empirically given); as positivist insofar as he considers his concepts and theories justified only to the extent to which they furnish a logical representation of relations among sensory experiences. He may even appear as Platonist or Pythagorean insofar as he considers the viewpoint of logical simplicity as an indispensible and effective tool of his research.”

— Albert Einstein

Contribution in Albert Einstein: Philosopher-Scientist, p. A. Schilpp, ed. (The Library of Living Philosophers, Evanston, IL (1949), p. 684). Quoted in Einstein's Philosophy of Science http://plato.stanford.edu/entries/einstein-philscience/
1940s

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Albert Einstein 702

German-born physicist and founder of the theory of relativi… 1879–1955

Carlos Gershenson (1978) Mexican researcher

Treo Notes (December 2006 - December 2009)

“Every specific semiotics (as every science) is concerned with general epistemological problems.”

Umberto Eco book Semiotics and the Philosophy of Language

[O] : Introduction, 0.4
Semiotics and the Philosophy of Language (1984)
Context: Every specific semiotics (as every science) is concerned with general epistemological problems. It has to posit its own theoretical object, according to criteria of pertinence, in order to account for an otherwise disordered field of empirical data; and the researcher must be aware of the underlying philosophical assumptions that influence its choice and its criteria for relevance. Like every science, even a specific semiotics ought to take into account a sort of 'uncertainty principle' (as anthropologists must be aware of the fact that their presence as observers can disturb the normal course of the behavioral phenomena they observe). Notwithstanding, a specific semiotics can aspire to a 'scientific' status. Specific semiotics study phenomena that are reasonably independent of their observations.

“The case of methodology is analogous though less clear. Nobody would object to the subject of methodology being science, or some pseudo science. On closer inspection, however, this agreement is no more than a verbal coincidence. It rests on what is meant by science, as reported as a subject of methodology. In fact the subject methodologists call science is more often than not different from what scientists call science. Methodologists are inclined to consider a science as a linguistic system whereas the scientist would only admit that his science has a language, not that it is a language.”

Hans Freudenthal (1905–1990) Dutch mathematician

Source: Realistic models in probability (1968), p. 1

“The postulation of a principle of causality, “to every effect there is a cause,” has been a continuing central problem for philosophy (Popper, 1972). Its role as a source of contention in modern science (Jauch, 1973) is epitomized by Einstein’s remark that, “I can’t believe that God plays dice.” Many of the arguments about the application of the principle are very relevant to systems science and to problems of system identification and machine learning, on the one hand, and to epistemology and behavioural psychology, on the other. In current system science the theory of causal deterministic systems is most well developed and generally applied, while the theory of modeling with alternative structures, e. g., stochastic automata, indeterminate automata, products of asynchronous automata, etc., has not been developed to the same degree.”

Brian R. Gaines (1938) British computer scientist

Introduction.
On the Complexity of Causal Models (1977)

“Science is a system of statements based on direct experience, and controlled by experimental verification. Verification in science is not, however, of single statements but of the entire system or a sub-system of such statements.”

Rudolf Carnap (1891–1970) German philosopher

Source: The unity of science, 1934/1995, p. 42

“The principal way that cognitive science can contribute to epistemology, I claim, is to identify basic belief-forming, or problem-solving processes. Once identified, these processes would be examined by primary epistemology according to the evaluative dimensions and standards adduced in Part I.”

Alvin Goldman (1938) American philosopher

Alvin Goldman (1986), Epistemology and Cognition. p. 81

“Systems science is what systems scientists do when they claim they do science.”

George Klir (1932–2016) American computer scientist

Facets of Systems Science, (2001)

“I believe there is no philosophical high-road in science, with epistemological signposts. No, we are in a jungle and find our way by trial and error, building our road behind us as we proceed.”

Max Born (1882–1970) physicist

Experiment and Theory in Physics (1943), p. 44
Context: I believe there is no philosophical high-road in science, with epistemological signposts. No, we are in a jungle and find our way by trial and error, building our road behind us as we proceed. We do not find signposts at crossroads, but our own scouts erect them, to help the rest.

“Systems science is that field of scientific inquiry whose objects of study are systems.
Without further explanation, these deﬁnitions are clearly of little use.”

George Klir (1932–2016) American computer scientist

Source: Facets of Systems Science, (2001), p. 3.

“# General system theory in the narrower sense (G. S. T.), trying to derive from a general definition of “system” as complex of interacting components, concepts characteristic of organized wholes such as interaction, sum, mechanization, centralization, competition, finality, etc., and to apply them to concrete phenomena.
While systems theory in the broad sense has the character of a basic science, it has its correlate in applied science, sometimes subsumed under the general name of Systems Science.”

Ludwig von Bertalanffy (1901–1972) austrian biologist and philosopher

Source: General System Theory (1968), 4. Advances in General Systems Theory, p. 90-91

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Albert Einstein 702

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